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Dissecting the heterogeneity of craniofacial lesions in patients with fibrous dysplasia/McCune-Albright Syndrome.
Shah, N; Drubach, L A; Berry, C; Mannstadt, M; Peacock, Z S; Upadhyay, J.
Afiliación
  • Shah N; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Drubach LA; Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • Berry C; Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • Mannstadt M; Endocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Peacock ZS; Department of Oral and Maxillofacial Surgery, Massachusetts General Hospital, Harvard School of Dental Medicine, Boston, MA, USA.
  • Upadhyay J; Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, USA. Electronic address: jaymin.upadhyay@childrens.harvard.edu.
Int J Oral Maxillofac Surg ; 2024 Aug 09.
Article en En | MEDLINE | ID: mdl-39127571
ABSTRACT
Fibrous dysplasia/McCune-Albright Syndrome (FD/MAS) frequently involves the craniofacial skeleton. Craniofacial fibrous dysplasia lesions exhibit diverse imaging characteristics on multimodality evaluation, utilizing radiographs, computed tomography (CT), magnetic resonance imaging (MRI), and 18F-sodium fluoride positron emission tomography (18F-NaF PET). A multimodal imaging classification of craniofacial fibrous dysplasia lesions may offer clinical insights into the types of lesions that are (1) prone to progression, (2) amenable to intervention (i.e., pharmacological or surgical), or (3) associated with symptoms such as pain. In this prospective, preliminary single site study of 15 patients with FD/MAS, the heterogeneity of craniofacial lesions (N = 35) was assessed using a combination of 18F-NaF PET, MRI, and CT. A k-means clustering algorithm was used to categorize lesions based on imaging characteristics. Clustering analysis revealed three types of lesion based on the magnitude of the regional 18F-NaF standardized uptake values (SUV), signal intensities on T1-weighted and fluid-sensitive sequences, and appearance on CT (lucent, sclerotic, and/or ground glass). This preliminary study provides a foundation for future longitudinal natural history or treatment studies, where the prognostic value of baseline craniofacial fibrous dysplasia imaging characteristics and clinical symptomatology can be further evaluated.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Oral Maxillofac Surg Asunto de la revista: ODONTOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Dinamarca
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Oral Maxillofac Surg Asunto de la revista: ODONTOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Dinamarca